Optimized Control Technique for Power Window in Smart Car Using

A practical pinch torque estimator based on the H∞ filter is proposed for low-cost anti-pinch window control systems. To obtain the acceptable angular velocity measurements, the angular velocity calculation algorithm was proposed with the measurement noise reduction logics in previous method. Apart from the previous works based on the angular velocity or torque estimates for detecting the pinched condition, the proposed pinch detection algorithm makes use of the torque rate information integrated with state flow chart. To do this, the torque rate is augmented to the system model and the torque rate estimator is derived by applying the steady-state H∞ filter recursion to the model. The motivation of this approach comes from the idea that the torque rate is less sensitive to the motor parameter uncertainties. Moreover, the statistics of modeling errors and angular velocity measurement noises are actually unknown. Hence, the proposed scheme minimizes the anti-pinch window control system's exposure to the false alarm. To detect the pinched condition, a systematic way to determine the threshold level of the torque rate estimates is also suggested via the deterministic estimation error analysis. Experimental results certify the pinch detection performance of the proposed algorithm and its robustness against the motor parameter uncertainties.